Owing to the effect of the high temperature, complex illumination and bad-imaging environment, there are a lot of
difficulties in the target of character detection algorithm in complex background. For the requirement of identification
and trace of steel billet in the procedure of manufacture and management, the ends of steel billets are all printed a series
of digital characters before they are transported to furnace. Owing to the high temperature and the complicated-imaging
background, the character detection of digital characters at ends of steel billets is more difficult than general character
detection. For the former methods dissatisfied with practical demands, a method using an improved OTSU algorithm and
extracted the target character by projection in this paper.
In this paper, a method of automatic pavement breakage extraction based on patching feature is presented for the
requirement of pavement patching extraction with complex background on road surface. The median filter is adopted in
the process of preprocessing, with improved noise attenuation and excellent edge response. After median filter, an
algorithm based on patching feature space is incorporated into the process of segmentation. The comparison of various
segmentation algorithms indicate that our approach can provide a better segmentation. A series of experiments have been
performed to test the proposed algorithm. It is proven that the proposed automatic extraction method is advanced and
effective.
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